vivo V2203
Geekbench AI Score
237
Single Precision Score
225
Half Precision Score
258
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 08:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6765V/CB |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | vivo V2203 |
| Model ID | vivo V2203 |
| Motherboard | k65v1_64_bsp |
| CPU Information | |
|---|---|
| Name | ARM MT6765V/CB |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 2.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (Q)
|
100% |
197
36.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
261
4.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
656
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
527
0.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
464
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.73 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.75 IPS |
|
|
Object Detection (Q)
|
83% |
163
13.1 IPS |
|
|
Face Detection (SP)
|
100% |
269
3.20 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (Q)
|
95% |
446
5.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
410
3.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
344
2.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
463
4.24 IPS |
|
|
Style Transfer (SP)
|
89% |
1182
1.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1187
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1158
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
239
8.87 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.1 IPS |
|
|
Text Classification (HP)
|
100% |
90
120.8 IPS |
|
|
Text Classification (Q)
|
88% |
92
124.6 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (HP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (Q)
|
50% |
66
2.35 IPS |
